From prompts to products: One year of Responses | OpenAI Developers

What this post added

This post highlights how developers are using the Responses API to build more sophisticated agentic systems. It details Raindrop AI's use of the API for monitoring and debugging AI agents in production, Repo Prompt's architecture for deep reasoning on complex data by separating context building from analysis, and Collxn's conversational interface for vinyl record collectors using tool calling. These examples showcase the evolution of agentic execution environments towards more reliable, complex, and interactive applications.